Author: Princeton University. Department of Computer SciencePublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Shared Virtual Memory Accommodating Heterogeneity
Author: Princeton University. Department of Computer SciencePublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Shared Virtual Memory Accommodating Hetergeneity
Author: Li, K. (Kai)Publisher: Computer Systems Research Institute
ISBN:
Category : Sun computers
Languages : en
Pages : 22
Book Description
Shared Virtual Memory Accomodating Heterogeneity
Author: University of Toronto. Computer Systems Research InstitutePublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Shared Virtual Memory for Heterogeneous Embedded Systems on Chip
Author: Pirmin VogelShared Virtual Memory for Heterogeneous Embedded Systems on Chips
Author: Pirmin Robert VogelPublisher:
ISBN: 9783866286238
Category :
Languages : en
Pages : 197
Book Description
Communications, Architectures & Protocols
Author: Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 856
Book Description
AUUGN
Author: Shared Virtual Memory Accomodating Hetergeneity
Author: Kai LiPublisher:
ISBN:
Category : Virtual storage (Computer science)
Languages : en
Pages : 28
Book Description
Scientific and Technical Aerospace Reports
Author: An Open-Source Research Platform for Heterogeneous Systems on Chip
Author: Andreas Dominic KurthPublisher: BoD – Books on Demand
ISBN: 3866287747
Category : Science
Languages : en
Pages : 282
Book Description
Heterogeneous systems on chip (HeSoCs) combine general-purpose, feature-rich multi-core host processors with domain-specific programmable many-core accelerators (PMCAs) to unite versatility with energy efficiency and peak performance. By virtue of their heterogeneity, HeSoCs hold the promise of increasing performance and energy efficiency compared to homogeneous multiprocessors, because applications can be executed on hardware that is designed for them. However, this heterogeneity also increases system complexity substantially. This thesis presents the first research platform for HeSoCs where all components, from accelerator cores to application programming interface, are available under permissive open-source licenses. We begin by identifying the hardware and software components that are required in HeSoCs and by designing a representative hardware and software architecture. We then design, implement, and evaluate four critical HeSoC components that have not been discussed in research at the level required for an open-source implementation: First, we present a modular, topology-agnostic, high-performance on-chip communication platform, which adheres to a state-of-the-art industry-standard protocol. We show that the platform can be used to build high-bandwidth (e.g., 2.5 GHz and 1024 bit data width) end-to-end communication fabrics with high degrees of concurrency (e.g., up to 256 independent concurrent transactions). Second, we present a modular and efficient solution for implementing atomic memory operations in highly-scalable many-core processors, which demonstrates near-optimal linear throughput scaling for various synthetic and real-world workloads and requires only 0.5 kGE per core. Third, we present a hardware-software solution for shared virtual memory that avoids the majority of translation lookaside buffer misses with prefetching, supports parallel burst transfers without additional buffers, and can be scaled with the workload and number of parallel processors. Our work improves accelerator performance for memory-intensive kernels by up to 4×. Fourth, we present a software toolchain for mixed-data-model heterogeneous compilation and OpenMP offloading. Our work enables transparent memory sharing between a 64-bit host processor and a 32-bit accelerator at overheads below 0.7 % compared to 32-bit-only execution. Finally, we combine our contributions to a research platform for state-of-the-art HeSoCs and demonstrate its performance and flexibility.